Modern statistical tools for inference and prediction of infectious diseases using mathematical models

Introduction to statistical inference for infectious diseases

In this paper we first introduce the general stochastic epidemic model for the spread of infectious diseases. Then we give methods for inferring model parameters such as the basic reproduction number R0 and vaccination coverage vc assuming different types of data from an outbreak such as final outbreak details and temporal data or observations from an ongoing outbreak. Both individual heterogen...

statistical inference via empirical bayes approach for stationary and dynamic contingency tables

چکیده ندارد.

Tools for Formal Statistical Inference

on Mathematical Modelling of Infectious Diseases : Epidemic Models with Treatment

Infectious diseases affect both animals and humans and cause significant financial losses and loss of lives every year around the world. For developing nations like India the losses are all the more critical because they affect economic growth (i.e. loss of animals and labor). Mathematical models have become important tools in analyzing the spread and control of infectious diseases. The modelli...

Mathematical Immunology of Infectious Diseases

Theme 1: Organization and function of the immune system Chair: Alan Perelson 08:20 AM 08:30 AM Introduction to theme 1 and its presentations by Chair 08:30 AM 09:30 AM Speaker: Rob J De Boer (Plenary lecture) Utrecht University “Estimating the killing efficacy of cytotoxic T cells” 09:30 AM 10:00 AM Speaker: Stanca Ciupe “Mathematical models of T-cell development” Duke University 10:00 AM 10:30...